Pipetting Performance Report (Full Run)

Variable Value
Date and time: 2024-04-01 20:04:08
Active user: Arthur Theuer
Workflow run mode: Full run (without gravimetric measurement)
Robot type: Tecan Fluent
Robot ID: TF0123456789
Tested pipette head: MCA96 (96-channel head)
Dye volume per well (μl): 2
Water volume per well (μl): 98
Additional details: Add any further information here.
Uploaded file(s): data/mca_plate_1.xlsx
data/mca_plate_2.xlsx
data/mca_plate_3.xlsx
Processed file(s): data/processed/processed_mca_plate_1.csv
data/processed/processed_mca_plate_2.csv
data/processed/processed_mca_plate_3.csv
All channels pipette relatively similar volumes.

All channels have an average deviation from the median of less than ±10%.
7 channels have an average deviation from the median of ±5% or more.

All channels have relatively low variation between replicates.

All channels have a CV of less than 10%.
2 channels have a CV of 5% or more.

How different are the channels from each other?

2024-04-01T20:04:08.725667 image/svg+xml Matplotlib v3.8.2, https://matplotlib.org/

Are the values for each channel consistent?

2024-04-01T20:04:08.886558 image/svg+xml Matplotlib v3.8.2, https://matplotlib.org/

Plate summaries

PLATE 1: data/processed/processed_mca_plate_1.csv

2024-04-01T20:04:08.990149 image/svg+xml Matplotlib v3.8.2, https://matplotlib.org/
2024-04-01T20:04:09.346453 image/svg+xml Matplotlib v3.8.2, https://matplotlib.org/

PLATE 2: data/processed/processed_mca_plate_2.csv

2024-04-01T20:04:09.385359 image/svg+xml Matplotlib v3.8.2, https://matplotlib.org/
2024-04-01T20:04:09.662973 image/svg+xml Matplotlib v3.8.2, https://matplotlib.org/

PLATE 3: data/processed/processed_mca_plate_3.csv

2024-04-01T20:04:09.695921 image/svg+xml Matplotlib v3.8.2, https://matplotlib.org/
2024-04-01T20:04:09.987978 image/svg+xml Matplotlib v3.8.2, https://matplotlib.org/